Search Results for "cite space"

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The 18F-DOPA and 123I-FP-CIT (Ioflupane - DaTSCAN) templates are intended for use as templates for SPM automated normalisation. Created for SPM8 but SPM12 compatible. Available in NifTI file format. The updated Templates are symmetrical and adjusted to MNI-space templates from 12 (18F-DOPA) and 30 controls without evidence of nigrostriatal degeneration (123I-FP-CIT). Authors: I. Huertas, J.A. Lojo, F.J. García-Gómez & D. García-Solís. Contact: javier191185@gmail.com Terms of use These images are intended for free use by the neuroimaging community. However, we do ask that you please cite the following reference in any publications which make use of these images (previous version): [García-Gómez FJ, García-Solís D, Luis-Simón FJ, Marín-Oyaga VA, Carrillo F, Mir P, Vázquez-Albertino RJ. ...

...If you find MRiLab useful for your work, please cite this paper: Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 2016. doi: 10.1109/TMI.2016.2620961

Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). ...